Journal of Intelligence and Information Systems (지능정보연구)
- Volume 1 Issue 2
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- Pages.1-16
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- 1995
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- 2288-4866(pISSN)
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- 2288-4882(eISSN)
Nonlinear Models and Linear Models in Expert-Modeling A Lens Model Analysis
전문가 모델링에서 비선형모형과 선형모형 : 렌즈모형분석
Abstract
The field of human judgment and decision making provides useful methodologies for examining the human decision making process and substantive results. One of the methodologies is a lens model analysis which can examine valid nonlinearity in the human decision making process. Using the method, valid nonlinearity in human decision behavior can be successfully detected. Two linear(statistical) models of human experts and two nonlinear models of human experts are compared in terms of predictive accuracy (predictive validity). The results indicate that nonlinear models can capture factors(valid nonlinearity) that contribute to the expert's predictive accuracy, but not factors (inconsistency) that detract from their predictive accuracy. Then, it is argued that nonlinear models cab be more accurate than linear models, or as accurate as human experts, especially when human experts employ valid nonlinear strategies in decision making.
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